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09/12/2022
Multi-modal Streaming 3D Object Detection
Modern autonomous vehicles rely heavily on mechanical LiDARs for percept...
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12/22/2021
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation
This paper addresses the problem of cross-dataset generalization of 3D h...
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05/14/2021
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video
Estimating 3D human poses from video is a challenging problem. The lack ...
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03/24/2021
Multi-view 3D Reconstruction with Transformer
Deep CNN-based methods have so far achieved the state of the art results...
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03/17/2021
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection
Most autonomous vehicles (AVs) rely on LiDAR and RGB camera sensors for ...
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01/26/2021
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models
We propose a universal and physically realizable adversarial attack on a...
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10/30/2020
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification
Deep neural networks are vulnerable to adversarial attacks. White-box ad...
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10/29/2020
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
Recently, generative adversarial networks (GANs) can generate photo-real...
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04/07/2019
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction
Objective: The aim of this study is to develop an efficient and reliable...
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09/23/2018
DT-LET: Deep Transfer Learning by Exploring where to Transfer
Previous transfer learning methods based on deep network assume the know...
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02/24/2015